Search for dissertations about: "remote sensing in land cover classification"

Showing result 1 - 5 of 14 swedish dissertations containing the words remote sensing in land cover classification.

2. 1. Remote Sensing of Urbanization and Environmental Impacts

   Author : Jan Haas; Yifang Ban; Lars Eklund; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Remote Sensing; Classification; Land Use Land Cover; Support Vector Machine; Random Forest; Urbaniztion; Environmental Impact; Landscape Metrics; Ecosystem Services; Geomatik; Geomatics;

   Abstract : The unprecedented growth of urban areas all over the globe is nowadays maybe most apparent in China having undergone rapid urbanization since the late 1970s. The need for new residential, commercial and industrial areas leads to new urban regions challenging sustainable development and the maintenance and creation of a high living standard as well as the preservation of ecological functionality. READ MORE

4. 2. Inferring Land Use from Remote Sensing Imagery : A context-based approach

   Author : Michael Meinild Nielsen; Bo Malmberg; Anders Wästfelt; Douglas A. Stow; Stockholms universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; land use; remote sensing; urban remote sensing; image analysis; segmentation; spatial context; land cover; land cover configuration; farming types; bark beetle; dead trees; forest inventory; kulturgeografi; Human Geography;

   Abstract : This doctoral thesis investigates the potential of classification methods based on spatial context to infer specific forms of land use from remote sensing data. The problem is that some types of land use are characterized by a complex configuration of land covers that traditional per-pixel based methods have problems classifying due to spectral heterogeneity. READ MORE

5. 3. Remote Sensing of Urbanization and Environmental Impacts

   Author : Jan Haas; Yifang Ban; Costas Cartalis; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Remote Sensing; Urbanization; Land Use Land Cover LULC ; Environmental Impact; Landscape Metrics; Ecosystem Services; Geodesy and Geoinformatics; Geodesi och geoinformatik;

   Abstract : This thesis aims to establish analytical frameworks to map urban growth patterns with spaceborne remote sensing data and to evaluate environmental impacts through Landscape Metrics and Ecosystem Services. Urbanization patterns at regional scale were evaluated in China's largest urban agglomerations and at metropolitan scale in Shanghai, Stockholm and Beijing using medium resolution optical satellite data. READ MORE

6. 4. Satellite Monitoring of Urbanization and Indicator-based Assessment of Environmental Impact

   Author : Dorothy Furberg; Yifang Ban; Xiaojun Yang; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Urbanization; remote sensing; land-cover classification; landscape metrics; environmental indicators; environmental impact; ecosystem services; green infrastructure; habitat network analysis; Greater Toronto Area; Stockholm; Shanghai; urbanisering; fjärranalys; marktäckeklassificering; landskapsnyckeltal; miljöindikatorer; miljöpåverkan; ekosystemtjänster; grön infrastruktur; habitat nätverksanalys; Greater Toronto Area; Stockholm; Shanghai; Geodesy and Geoinformatics; Geodesi och geoinformatik; Geoinformatik; Geoinformatics;

   Abstract : As of 2018, 55% of the world population resides in urban areas. This proportion is projected to increase to 68% by 2050 (United Nations 2018). The Stockholm region is no exception to this urbanizing trend: the population of Stockholm City has risen by 28% since the year 2000. READ MORE

7. 5. Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping

   Author : Xin Niu; Yifang Ban; Laurent Ferro-Famil; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; RADARSAT-2; Spaceborne; Polarimetric SAR; Urban Land cover; Object-based Rule-based Classification; Support Vector Machines; Contextual; Stochastic Expectation-Maximization; Markov Random Field.;

   Abstract : Urban land cover mapping represents one of the most important remote sensing applications in the context of rapid global urbanization. In recent years, high resolution spaceborne Polarimetric Synthetic Aperture Radar (PolSAR) has been increasingly used for urban land cover/land-use mapping, since more information could be obtained in multiple polarizations and the collection of such data is less influenced by solar illumination and weather conditions. READ MORE